Entropic thresholding based on gray-level spatial correlation histogram

In this paper, an entropic thresholding method based on the gray-level spatial correlation (GLSC) histogram defined by ourselves is presented. Compared with traditional two-dimensional histogram, we take into account the image local property in a different way by GLSC histogram. In experiment, we make comparison of the proposed method with twodimensional entropic thresholding method proposed by Abutaleb and one-dimensional entropic thresholding method proposed by Kapur. The experiment demonstrates that generally our method could yield equivalent or even better result than Abutaleb’s method while saving time remarkably and perform much better than Kapur’s method without too more time consumption.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Yang Xiao, Zhiguo Cao, Tianxu Zhang
• Keywords: Computer Vision, Entropic Thresholding Method, ICPR 2008, One-dimensional Entropic Thresholding, Twodimensional Entropic Thresholding